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    一种互联网信息智能搜索新方法

    A NEW APPROACH TO THE INTELLIGENT SEARCH FOR INFORMATION ON THE INTERNET

    • 摘要: 提出了一种互联网信息智能搜索新方法 .该方法能够从组织结构和内容描述类似的同类网站中 ,准确有效搜索出隐藏于其内部的目标网页 .为此它采用了将网页间相互关联特征与网页内容特征描述有机结合而形成的一种新的搜索知识表示方法 .基于这种知识表示方法及其所表示的知识 ,该智能搜索方法不仅能够对网站中网页进行深度优先的智能搜索 ,而且还能够通过对其搜索过程和结果的自学习来获取更多更好的搜索知识 .初步实验结果表明 ,这种智能搜索新方法在对同类型网站的目标网页搜索中具有很强的深度网页搜索能力 .

       

      Abstract: Searching information on the WWW effectively is an important field in the Internet study. A new approach to intelligent search for information on the Internet is proposed, which can find out the Web pages from the insides of the Web sites having similar organization and content descriptions. A new knowledge representation about the searching, which combines the relation descriptions between the Web pages in a Web site with the Web page content descriptions, is used not only to find out the target page from the Web sites’ insides, but also to acquire new search knowledge automatically based on the search processes and the final results. The initial experiment shows that this new search method performs quite well while searching for the target Web pages from the similar Web sites’ insides.

       

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